Scalable Stereo Video Coding for Heterogeneous Environments

  • Sehchan Oh
  • Youngho Lee
  • Woontack Woo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

In this paper, we propose a new stereo video coding scheme for heterogeneous consumer devices by exploiting the concept of spatio-temporal scalability. We use MPEG standard for coding the main sequence and interpolative prediction scheme for predicting the P- and B-type pictures of the auxiliary sequence. The interpolative scheme predicts matching blocks by interpolating both motion predicted macro-block and disparity predicted macro-block and employs weighting factors to minimize the residual errors. To provide flexible stereo video service, we define both a temporally scalable layer and a spatially scalable layer for each eye’s view. The experimental results show the efficiency of proposed scheme by comparison with already known methods and advantages of disparity estimation in the view of scalability overhead. According to the experimental results, we expect the proposed functionalities will play a key role in establishing highly flexible stereo video service for ubiquitous display environment where device and network connections are heterogeneous.

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References

  1. 1.
    Perkins, M.G.: Data Compression of Stereopairs. Proc. of IEEE Tr. on Communications 40(4), 684–696 (1992)CrossRefGoogle Scholar
  2. 2.
    Kopernik, A., Pele, D.: Improved disparity estimation for the coding of stereoscopic television. In: Proc. of SPIE Visual Communications and Image Processing, vol. 1818, pp. 1155–1166 (1992)Google Scholar
  3. 3.
    Domanski, M., Mackowiak, S.: Modified MPEG-2 video coders with efficient multi-layer scalability. In: Proc. of ICIP, vol. 2, pp. 1033–1036 (October 2001)Google Scholar
  4. 4.
    Puri, A., Kollarits, R.V., Haskell, B.G.: Basics of Stereoscopic Video, New Compression Results with MPEG-2 and a Proposal for MPEG-4. In: Proc. of Image Communications, vol. 10, pp. 201–234 (1997)Google Scholar
  5. 5.
    Song, Y.: Improved Disparity Estimation Algorithm with MPEG-2 Scalability for Stereoscopic Sequences. Proc. of IEEE Tr. on CE 42(3) (August 1996)Google Scholar
  6. 6.
    Sethuraman, S., Siegel, M.W., Jordan, A.G.: A multiresolution framework for stereoscopic image sequence compression. In: Proc. of ICIP, vol. 2, pp. 361–365 (November 1994)Google Scholar
  7. 7.
    Sethuraman, S., Jordan, A.G., Siegel, M.W.: Multiresolution based hierarchical disparity estimation for stereo image pair compression. In: Proc. of the Symposium on Application of subbands and wavelets (1994)Google Scholar
  8. 8.
  9. 9.
    Domanski, M., Luczak, A., Mackowiak, S., Swierczynski, R.: Hybrid coding of video with spatio-temporal scalability using subband decomposition. In: Proc. of SPIE, vol. 3653, pp. 1018–1025 (1999)Google Scholar
  10. 10.
    Benzler, U.: Spatial Scalable Video Coding using a Combined Subband-DCT Approach. Proc. of IEEE Tr. Circuits and Systems for Video Tech. 10, 1080–1087 (2000)CrossRefGoogle Scholar
  11. 11.
    Narroschke, M.: Functionalities and costs of scalable video coding for streaming services. In: Proc. of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove (November 2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Sehchan Oh
    • 1
  • Youngho Lee
    • 1
  • Woontack Woo
    • 1
  1. 1.GIST U-VR Lab.GwangjuSouth Korea

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